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Approximate NN Queries on Streams with Guaranteed Error/performance Bounds

Summary: Introduces e-approximate kNN (ekNN) on data streams with an absolute error bound on the k-th distance. Proposes DISC, adaptive space-filling-curve indexing that trades memory for accuracy in streaming workloads, with fast updates and strong empirical validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9188
Venue
VLDB
Year
2004
Pagerank
7.7002798e-05
Overall Rank
3,018 | 79.01%
DOI
-

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